
Adobe Experience Manager (AEM) is a cloud-native digital experience platform that unifies content management, digital asset management, forms, documentation, and learning systems into one scalable solution. It empowers organizations to deliver personalized, high-performing content across websites, mobile applications, and emerging digital channels. Experience Manager Sites streamlines web development and content delivery with flexible authoring tools and rapid deployment capabilities. Experience Manager Assets centralizes and automates digital asset workflows, enabling teams to efficiently source, adapt, and distribute brand-approved content worldwide. AI-powered Experience Platform Agents operate behind the scenes to accelerate site updates, automate compliance and governance, optimize content for different channels, and improve asset discovery. Experience Manager Forms simplifies digital enrollment and customer interactions with responsive forms and secure e-signature capabilities. Adobe Learning Manager enhances customer, partner, and employee training by integrating learning experiences into digital ecosystems. Experience Manager Guides provides a cloud-based component content management system for managing and scaling documentation. Advanced governance tools automatically enforce brand standards, permissions, and compliance requirements. Designed for enterprises seeking scalable digital transformation, Adobe Experience Manager enables faster time-to-market, streamlined operations, and consistent customer experiences across every touchpoint.
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Haast is the AI engine for marketing compliance, built for enterprise marketing, legal, and compliance teams. It deploys AI agents that automate manual compliance work across the entire content lifecycle - from pre-publication review and approvals to continuous monitoring of live websites, social media, and partner channels. Unlike traditional compliance tools, Haast learns your organization’s unique risk tolerance and applies it consistently across all content, channels, and teams. This enables marketers to self-serve compliance and resolve issues before publishing, while giving legal teams faster, more reliable oversight without becoming a bottleneck.
Haast analyzes text, images, PDFs, video, and web content to identify real regulatory and brand risks, providing clear, actionable fixes. It supports both pre-launch checks and always-on monitoring, helping enterprises detect issues early and reduce exposure to regulatory fines or reputational damage. Built for complex, regulated environments like financial services, retail, telecommunications and gaming, Haast adapts to internal policies, approval workflows, and evolving regulatory requirements across regions and business units. By embedding directly into end-to-end workflows, it replaces slow, manual review processes with scalable, automated compliance infrastructure. The result is faster go-to-market, reduced compliance risk, and a more efficient way for marketing and legal teams to work together.
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Safer
Safer is specifically created to address the viral spread of CSAM material on your platform, providing increased safety for your team, organization, and users. This innovative system enhances efficiency and promotes well-being among team members while fostering collaboration by breaking down barriers and leveraging community expertise. By employing sophisticated perceptual hashing and machine learning algorithms, it adeptly identifies both recognized and unrecognized CSAM. Any flagged content can be placed in a queue for review through moderation tools that prioritize employee wellness. Verified CSAM is carefully reviewed and reported, with all content securely archived in compliance with regulatory requirements. Moreover, Safer's protective measures are designed to identify both recognized and potentially new or unreported content right at the moment of upload. The Safer community works together to uncover more abuse materials, and our APIs are designed to enrich the collective knowledge surrounding child abuse content through the sharing of hashes, comparison with industry-standard hashes, and feedback regarding false positives. This collaborative initiative not only reinforces the battle against abuse but also promotes a proactive strategy to protect vulnerable individuals, ensuring that every effort counts in the ongoing fight for safety and justice. Ultimately, Safer represents a robust commitment to creating a safer online environment for everyone involved.
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Alibaba Cloud Content Moderation
Content Moderation employs sophisticated deep learning methods, leveraging Alibaba's vast expertise in Big Data analysis to monitor a wide range of multimedia formats such as images, videos, and text. This innovative system assists users in filtering out adult content, violence, terrorism, drugs, and other illegal or unsuitable materials while also tackling spam advertisements to improve the overall user experience. With its capability to deliver automated moderation responses in less than 0.1 seconds and maintain an accuracy rate surpassing 95 percent, it effectively identifies harmful multimedia content linked to illicit activities, including violence, extremism, and profanity. The technology processes billions of multimedia items on a daily basis, utilizing Alibaba's powerful deep learning solutions that can be customized according to specific user requirements. As it continuously learns from new data, the system refines its recognition abilities, ensuring it stays current with the ever-changing landscape of content moderation challenges. This ongoing improvement not only enhances the platform's effectiveness but also strengthens user confidence in the safety and appropriateness of the content they interact with, ultimately fostering a more secure online environment. By prioritizing user safety and satisfaction, the system plays a crucial role in maintaining a trustworthy digital space.
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